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Table 2 HRs (95% CIs) for mortality according to serum 25(OH)D concentrations among participants with gout

From: Association of serum 25-hydroxyvitamin D concentrations with all-cause and cause-specific mortality among individuals with gout and hyperuricemia

 

Serum 25(OH)D concentrations (nmol/L)

Per One-Unit Increment in

Natural Log-Transformed

25(OH)D

< 25.00

25.00–49.99

50.00–74.99

≥ 75.00

Ptrenda

All-cause mortality

      

Number of deaths (%)

23 (35.90)

65 (23.00)

84 (21.90)

76 (17.40)

  

Model 1

1.00

0.57 (0.33,0.97), 0.037

0.47 (0.29,0.77), 0.002

0.33 (0.19,0.57), < 0.001

< 0.001

0.56 (0.42,0.75), < 0.001

HR (95% CI), P-value

Model 2

1.00

0.61 (0.34,1.12), 0.109

0.37 (0.21,0.64), < 0.001

0.23 (0.14,0.39), < 0.001

< 0.001

0.42 (0.33,0.53), < 0.001

HR (95% CI), P-value

Model 3

1.00

0.67 (0.42,1.09), 0.109

0.46 (0.30,0.72), 0.001

0.30 (0.19,0.45), < 0.001

< 0.001

0.45 (0.37,0.56), < 0.001

HR (95% CI), P-value

CVD mortality

      

Number of deaths (%)

11 (17.20)

21 (7.40)

22 (5.70)

22 (5.00)

  

Model 1

1.00

0.43 (0.19,0.93), 0.033

0.28 (0.12, 0.67), 0.004

0.21 (0.09,0.51), 0.001

0.013

0.46 (0.25,0.84), 0.011

HR (95% CI), P-value

Model 2

1.00

0.48 (0.18,1.23), 0.127

0.25 (0.10,0.61), 0.002

0.16 (0.06,0.42), < 0.001

0.002

0.39 (0.22,0.66), 0.001

HR (95% CI), P-value

Model 3

1.00

0.58 (0.19,1.73), 0.330

0.32 (0.12,0.81), 0.016

0.21 (0.08,0.57), 0.002

0.003

0.39 (0.23,0.67), 0.001

HR (95% CI), P-value

Cancer mortality

      

Number of deaths (%)

4 (6.20)

13 (4.60)

13 (3.40)

19 (4.30)

  

Model 1

1.00

0.56 (0.18,1.76), 0.320

0.49 (0.17,1.42), 0.187

0.64 (0.23,1.81), 0.400

0.927

0.88 (0.46,1.69), 0.693

HR (95% CI), P-value

Model 2

1.00

0.74 (0.20,2.81), 0.664

0.46 (0.11,1.87), 0.275

0.58 (0.20,1.64), 0.302

0.574

0.68 (0.41,1.11), 0.124

HR (95% CI), P-value

Model 3

1.00

0.85 (0.20,3.66), 0.825

0.47 (0.09,2.34), 0.354

0.60 (0.21,1.77), 0.356

0.550

0.68 (0.42,1.11), 0.126

HR (95% CI), P-value

  1. Model 1: Non-adjusted (n = 1169)
  2. Model 2: Adjusted for age, gender, race/ethnicity, and survey cycle (n = 1169)
  3. Model 3: Adjusted for age, gender, race/ethnicity, survey cycle, education level, PIR, BMI, smoking status, alcohol consumption, hypertension, diabetes, and uric acid (n = 1152)
  4. aP value for trend was tested according to the statistical significance of the median value for category variables